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dd5d953a - Inpainting cleanup: misc fixes following PR #2309 review

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20 days ago
Inpainting cleanup: misc fixes following PR #2309 review - sdxl_train: drop leftover .reshape(batch["images"].shape) no-op in masked-image VAE encode (dead since the ff7945d batched-mask fix). - model_util.expand_unet_to_inpainting: use unet.register_to_config(in_channels=9) so the diffusers FrozenDict stays in sync (the previous isinstance(..., dict) guard either silently skipped or raised, depending on diffusers version). - sample_image_inference: round resolution to mod-32 for SDXL (2 downsamples, latent /4) and mod-64 for SD1.5/2.x (3 downsamples, latent /8); fix the inaccurate "SDXL requires latents divisible by 8" comment. - inpainting_minimal_inference: remove unused denoise() — the actual loop is inlined in main(). - BaseDataset.random_mask: drop unused ratio / mask_full_image parameters and the dead cloud_mask import. - Rename per-prompt --img directive to --i for consistency with Musubi Tuner (which already uses --i alongside the shared w/h/l/d/s directives). - When --train_inpainting is set but the prompt has no --i, warn and skip the sample instead of falling through to the standard pipeline (which would crash the 9-channel UNet on 4-channel input). Matches the existing missing-file skip behaviour. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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